Deqing Sun
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics
- Media Technology
- Computer Graphics and Computer-Aided Design top 10%
- Aerospace Engineering
- Co-authors
- Wai-Kuen ChamMing–Hsuan YangXiaoyu ZhouZhiwei LinCharles HerrmannJiajun WuVarun JampaniEric Chen
- Topics
- Advanced Vision and Imaging (7 papers)Advanced Image Processing Techniques (5 papers)Image Enhancement Techniques (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Deqing Sun
12 papers receiving 204 citations
Hit Papers
Peers
Comparison fields: 5 of 41
- Computer Vision and Pattern Recognition 165
- Computational Mechanics 28
- Media Technology 25
- Computer Graphics and Computer-Aided Design 25
- Aerospace Engineering 22
Countries citing papers authored by Deqing Sun
This map shows the geographic impact of Deqing Sun's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Deqing Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deqing Sun more than expected).
Fields of papers citing papers by Deqing Sun
This network shows the impact of papers produced by Deqing Sun. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Deqing Sun. The network helps show where Deqing Sun may publish in the future.
Co-authorship network of co-authors of Deqing Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Deqing Sun. A scholar is included among the top collaborators of Deqing Sun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Deqing Sun. Deqing Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenesbreakdown → | 57 |
| 6 | 11 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 12 | |
| 10 | 5 | |
| 11 | PCM Technology Application to the Lan-Cheng-Yu Oil Pipeline | 1 |
| 12 | 97 |
About Deqing Sun
Deqing Sun is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Media Technology, having authored 12 papers that have together received 206 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (7 papers), Advanced Image Processing Techniques (5 papers) and Image Enhancement Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (165 citations), Computer Graphics and Computer-Aided Design (25 citations) and Media Technology (25 citations). Deqing Sun has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Wai-Kuen Cham, Ming–Hsuan Yang, Xiaoyu Zhou, Zhiwei Lin, Charles Herrmann, Jiajun Wu, Varun Jampani, Eric Chen, Han Zhang and Junyi Zhang. Their work appears in journals such as Analytical Chemistry, IEEE Transactions on Image Processing and ACM Transactions on Graphics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.